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Impact of the COVID-19 Pandemic on Adherence to Most Costly Chronic Disease Medications in British Columbia, Canada: A Population-Based Interrupted Time Series Analysis

Patient Prefer Adherence. 2025 Aug 15;19:2493-2504. doi: 10.2147/PPA.S529666. eCollection 2025.

ABSTRACT

PURPOSE: To address limited population-level data on prescription medication taking during COVID-19, we assessed the impact of the pandemic on adherence to the costliest drug classes prescribed for chronic diseases in British Columbia (BC).

PATIENTS AND METHODS: Of the 100 top drug classes contributing to total drug spending in 2020, we categorized those prescribed for chronic diseases into 26 drug groups; specifically, drugs for psychiatric and neurologic, cardiac and respiratory, hormone-related, and immune and musculoskeletal conditions. Using administrative health data on all dispensed medications, we quantified adherence by monthly proportion of days covered (PDC) and performed interrupted time-series analysis (ITS) to estimate changes in PDC trends 1-year before and after the implementation of pandemic mitigation measures.

RESULTS: We included 3,906,377 adults with ≥1 prescription to ≥1 included drug groups. The most common prescriptions among our study population were for antidepressants (45.0%), drugs for obstructive airway diseases (41.6%), renin-angiotensin system agents (30.5%), diuretics (28.2%), and lipid modifying agents (24.8%). ITS models for 22 of 26 drug groups showed statistically significant changes in monthly PDC trends, with the greatest change occurring among parenteral immunosuppressants, injectable insulins and analogues, and renin-angiotensin system agents.

CONCLUSION: Findings suggest that the pandemic did not substantially impact adherence to commonly used medications; however, adherence was found to be suboptimal across all drug groups regardless of the impact of COVID-19. Medication adherence remains a critical therapeutic challenge requiring our attention irrespective of major healthcare system stressors such as COVID-19.

PMID:40838205 | PMC:PMC12363557 | DOI:10.2147/PPA.S529666

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